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Code Cell

<function rtichoke.helpers.sandbox_observable_helpers.create_aj_data_combinations(reference_groups, fixed_time_horizons, stratified_by, by)>

Here is a Python code cell:

preds_aft: type=<class 'pandas.core.series.Series'>, dimensions=1
pred_1_5: type=<class 'pandas.core.series.Series'>, dimensions=1
pred_thin: type=<class 'pandas.core.series.Series'>, dimensions=1
preds_aft
0      1.000000
1      0.526737
2      1.000000
3      1.000000
4      1.000000
         ...   
745    0.999975
746    0.999789
747    0.997182
748    1.000000
749    1.000000
Length: 750, dtype: float64
pred_thin
0      0.988965
1      0.524577
2      0.991665
3      0.994338
4      0.992105
         ...   
745    0.984451
746    0.980313
747    0.967938
748    0.992703
749    0.993183
Length: 750, dtype: float64
strata
0 (0.99, 1.0]
1 (0.99, 1.0]
2 (0.99, 1.0]
3 (0.99, 1.0]
4 (0.99, 1.0]
... ...
3727 0.57
3728 0.57
3729 0.57
3730 0.57
3731 0.57

3732 rows × 1 columns